Search
Search Results
-
Replicable brain–phenotype associations require large-scale neuroimaging data
Numerous neuroimaging studies have investigated the neural basis of interindividual differences but the replicability of brain–phenotype associations...
-
Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis
BackgroundHarmful social behaviours, such as injurious feather pecking in poultry and tail biting in swine, reduce animal welfare and production...
-
rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data
Pre-mRNA alternative splicing is a prevalent mechanism for diversifying eukaryotic transcriptomes and proteomes. Regulated alternative splicing plays...
-
An MSstats workflow for detecting differentially abundant proteins in large-scale data-independent acquisition mass spectrometry experiments with FragPipe processing
Technological advances in mass spectrometry and proteomics have made it possible to perform larger-scale and more-complex experiments. The volume and...
-
Gapr for large-scale collaborative single-neuron reconstruction
Whole-brain analysis of single-neuron morphology is crucial for unraveling the complex structure of the brain. However, large-scale neuron...
-
Large-scale foundation model on single-cell transcriptomics
Large pretrained models have become foundation models leading to breakthroughs in natural language processing and related fields. Develo**...
-
Comparing models of learning and relearning in large-scale cognitive training data sets
Practice in real-world settings exhibits many idiosyncracies of scheduling and duration that can only be roughly approximated by laboratory research....
-
MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data
BackgroundModern mass spectrometry has revolutionized the detection and analysis of metabolites but likewise, let the data skyrocket with...
-
Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data
BackgroundDespite well-documented effects on human health, the action modes of environmental pollutants are incompletely understood. Although...
-
-
Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas
Key messageSample size (number of plots) may significantly affect the accuracy of forest attribute estimations using airborne LiDAR data in...
-
Removing unwanted variation from large-scale RNA sequencing data with PRPS
Accurate identification and effective removal of unwanted variation is essential to derive meaningful biological results from RNA sequencing...
-
-
An assessment of long-term and large-scale wetlands change dynamics in the Limpopo transboundary river basin using cloud-based Earth observation data
Significant progress has been made in monitoring and assessing the effects of land use and land cover (LULC) changes on wetland extent. However, our...
-
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data
With the development of high-throughput experimental technologies, large-scale RNA sequencing (RNA-Seq) data have been and continue to be produced,...
-
The theory on and software simulating large-scale genomic data for genotype-by-environment interactions
BackgroundWith the emphasis on analysing genotype-by-environment interactions within the framework of genomic selection and genome-wide association...
-
Large-scale citizen science reveals predictors of sensorimotor adaptation
Sensorimotor adaptation is essential for kee** our movements well calibrated in response to changes in the body and environment. For over a...
-
A resource database for protein kinase substrate sequence-preference motifs based on large-scale mass spectrometry data
BackgroundProtein phosphorylation is one of the most prevalent posttranslational modifications involved in molecular control of cellular processes,...
-
High-resolution structural variants catalogue in a large-scale whole genome sequenced bovine family cohort data
BackgroundStructural variants (SVs) are chromosomal segments that differ between genomes, such as deletions, duplications, insertions, inversions and...
-
Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs
BackgroundWhole-genome sequence (WGS) data harbor causative variants that may not be present in standard single nucleotide polymorphism (SNP) chip...
